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COMPSCI 4416A/B
DATA SCIENCE II
0.50 credit
Description
Students will learn to develop and extend data science methods in order to solve new problems. Approaches covered will include convex loss/regularization, graphical models, and neural networks.
Prerequisites
Data Science 3000A/B (or the former Computer Science 4414A/B) or Computer Science 4437A/B/Y if taken during Fall/Winter 2016 or 2017.
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